CN112927117B - Block chain-based vehicle management communication method, management system, device and medium - Google Patents
Block chain-based vehicle management communication method, management system, device and medium Download PDFInfo
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Abstract
The invention discloses a vehicle management communication method, a management system, equipment and a medium based on a block chain, wherein a target speed is extracted by obtaining a real-time vehicle running track and a speed type of a running speed characteristic included in the real-time vehicle running track, an instantaneous vehicle speed data identifier is obtained by identifying according to a running speed, the real-time vehicle running track and the instantaneous vehicle speed data identifier are extracted, a matching set of a vehicle speed measurement matching model is constructed, and a stable speed type accuracy is obtained aiming at the real-time vehicle running track; the matching set of the extracted real-time vehicle running track and instantaneous vehicle speed data identification structure and the speed type of the included running speed characteristics are matched with the vehicle speed measurement matching model on the basis of the known vehicle speed measurement matching model, the weight of the vehicle speed measurement matching model is updated through matching, the matched vehicle speed measurement matching model is obtained to be judged, and therefore the matching mode is simpler and faster.
Description
Technique of
FIELD
The present disclosure relates to the field of block chain and vehicle management technologies, and in particular, to a block chain-based vehicle management communication method, a management system, a device, and a medium.
Background
The vehicle speed management means that a vehicle running image sequence shot by a camera arranged above a road is analyzed by using an image processing technology, a mapping relation between image pixel coordinates and world coordinates of corresponding points in space is established through calibration of the camera, and actual displacement of a vehicle in a period of time is obtained, so that the vehicle speed is obtained. The pixel displacement of the vehicle in a period of time is obtained through a certain method, the mapping relation between the pixel coordinates of the image and the world coordinates of the corresponding points in the space is established through the calibration of the camera, the actual displacement of the vehicle is solved according to the pixel displacement of the vehicle, and the vehicle speed is further calculated.
Vehicle speed limitation is a simple and effective traffic management measure to reduce the average speed of vehicles on roads, thereby achieving multiple purposes of ensuring traffic safety, reducing energy consumption and reducing vehicle exhaust emission. The problem of speed limitation in traffic management is a worldwide problem related to public traffic safety because it directly affects traffic safety, traffic operation efficiency and economic efficiency.
With the continuous development of society, the income of families is continuously improved, the quantity of owned vehicles is continuously increased, convenience is brought to family traveling, and the following problems are that the vehicle speed is too high, so that more and more traffic accidents are caused, huge loss is caused, and the speed of the vehicle needs to be accurately and forcibly controlled.
The continuous increase of vehicles causes the workload of monitoring the vehicle information and the speed matching program of the vehicle to be very heavy, which may cause a crash situation, thereby causing an instant vehicle speed corresponding to the vehicle information which cannot be matched quickly.
Disclosure of Invention
To solve the technical problems of the background art described above in the related art, the present disclosure provides a block chain based vehicle management communication method, a management system, a device, and a medium.
A blockchain based vehicle management communication method, the method comprising:
obtaining a real-time vehicle running track and a speed type of a running speed characteristic included in the real-time vehicle running track;
extracting a target speed at which the running speed of the real-time vehicle running track does not meet a preset running speed; according to the preset maximum running speed value at which the instantaneous time point of the target speed is greater than the preset maximum running speed value, identifying the target speed of the real-time vehicle running track to obtain an instantaneous vehicle speed data identifier;
matching a vehicle speed measurement pairing model based on the extracted real-time vehicle running track and a matching set constructed by the instantaneous vehicle speed data identification and the speed type of the running speed characteristics;
and judging the speed type of the running speed characteristics included in the running track of the vehicle to be processed based on the matched vehicle speed measurement pairing model.
Further, the vehicle speed measurement pairing model includes:
initializing a vehicle speed measurement pairing model;
and mapping the vehicle running track and the corresponding speed type included in the matching set to the vehicle speed measurement pairing model for iterative matching until the speed calculation result of the vehicle speed measurement pairing model matches a preset speed to obtain a single vehicle speed measurement pairing model for the speed type of the vehicle running track to be processed.
Further, still include:
and calculating the speed calculation result by a preset driving speed parameter set according to the N speed calculation result and the pairing driving speed values of the multiple speed types to obtain a real-time speed calculation result of the vehicle speed measurement pairing model.
Further, the vehicle speed measurement pairing model includes:
initializing a vehicle speed measurement pairing model;
initializing a monitoring layer, a speed judging layer and a speed type layer corresponding to the running speed characteristics which are sequentially matched with the vehicle speed measuring matching model according to at least two running speed characteristics contained in the real-time vehicle running track to obtain a combined vehicle speed measuring matching model for the speed type of the vehicle running track to be processed;
and mapping the vehicle running track and the corresponding speed type included in the matching set to the combined vehicle speed measurement pairing model for iterative matching until the speed calculation result matches the preset speed.
Further, the determining the speed type of the running speed characteristics included in the running track of the vehicle to be processed based on the matched vehicle speed measurement pairing model includes:
in a single vehicle speed measurement pairing model, extracting vehicle running track characteristics in the vehicle running track to be processed, and performing segmented processing on the extracted vehicle running track characteristics;
and feeding back the characteristics of the segmentation processing to the probability that the running speed characteristics belong to different speed categories.
Further, the determining the speed type of the running speed characteristics included in the running track of the vehicle to be processed based on the matched vehicle speed measurement pairing model includes:
in a combined vehicle speed measurement pairing model, correspondingly extracting vehicle running track characteristics from the to-be-processed vehicle running tracks of at least two running speed characteristics by using the combined vehicle speed measurement pairing model;
inputting the extracted vehicle running track characteristics into a speed judgment layer, and performing segmentation processing; and respectively feeding back the vehicle running track characteristics subjected to the segmentation processing to the probabilities that the at least two running speed characteristics belong to different speed types.
Further, the extracting that the running speed of the real-time vehicle running track does not meet the target speed of the preset running speed comprises:
detecting an overspeed area of a driving speed characteristic included in the real-time vehicle driving track; and extracting the speed coefficient of the real-time vehicle running track until the speed coefficient of an overspeed area of the running speed characteristics included in the real-time vehicle running track is consistent.
A vehicle management communication system based on a block chain comprises a vehicle speed acquisition device and a terminal device, wherein the vehicle speed acquisition device is in communication connection with the terminal device, and the terminal device comprises:
the system comprises a driving track acquisition module, a speed classification module and a control module, wherein the driving track acquisition module is used for acquiring a real-time vehicle driving track and the speed classification of the driving speed characteristics included in the real-time vehicle driving track;
the vehicle speed identification module is used for extracting a target speed at which the running speed of the real-time vehicle running track does not meet a preset running speed; identifying the target speed of the real-time vehicle running track according to the maximum value of the preset running speed at which the instantaneous time point of the target speed is greater than the maximum value of the preset running speed to obtain an instantaneous vehicle speed data identifier;
the vehicle speed measurement pairing module is used for matching a vehicle speed measurement pairing model based on the extracted real-time vehicle running track and a matching set of the instant vehicle speed data identification structure and the speed type of the running speed characteristics;
and the running track judging module is used for judging the speed type of the running speed characteristics included in the running track of the vehicle to be processed based on the matched vehicle speed measurement pairing model.
A terminal device, comprising:
a memory for storing a computer program;
a processor coupled to the memory for executing the computer program stored by the memory to implement the method of any of the above.
A computer-readable storage medium, in which a computer program is stored which, when executed, performs the method of any one of the preceding claims.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects.
The vehicle management communication method, the management system, the equipment and the medium based on the block chain are characterized in that a real-time vehicle running track and the speed type of running speed characteristics included in the real-time vehicle running track are obtained, the target speed of the running speed of the real-time vehicle running track which does not meet the preset running speed is extracted to obtain the extracted real-time vehicle running track, the running speed of the real-time vehicle running track is identified according to the maximum value of the preset running speed which is greater than the instant time point of the running speed to obtain an instant vehicle speed data identifier, the information quantity of the obtained instant vehicle speed data identifier can be extracted through the preset running speed which is greater than the instant time point of the running speed, and therefore more effective matching sets for vehicle speed measurement matching models can be constructed based on the extracted real-time vehicle running track and the instant vehicle speed data identifier, the stable speed type accuracy can be obtained under the condition that the information amount of the real-time vehicle running track of the same section or speed type is less; based on the extracted real-time vehicle running track and the matching set constructed by the instantaneous vehicle speed data identification and the speed type of the running speed characteristics, the matching vehicle speed measurement matching model can be matched on the basis of the known vehicle speed measurement matching model, the weight of the vehicle speed measurement matching model is updated through matching, and the matched vehicle speed measurement matching model is obtained for judgment, so that the matching mode is simpler and faster. .
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a schematic architecture diagram of a block chain-based vehicle management communication system according to an embodiment of the present invention;
FIG. 2 is a flow chart of a block chain based vehicle management communication method according to an embodiment of the present invention;
fig. 3 is a functional block diagram of a block chain-based vehicle management communication device according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application, as detailed in the appended claims.
To facilitate the description of the above vehicle management communication method and apparatus based on a block chain, please refer to fig. 1, which provides a schematic view of a communication architecture of a vehicle management communication system 100 based on a block chain according to an embodiment of the present invention. The block chain-based vehicle management communication system 100 may include a terminal device 300 and a vehicle speed acquisition device 200, wherein the terminal device 300 is connected to the vehicle speed acquisition device 200 in a communication manner.
In a specific embodiment, the terminal device 300 may be a desktop computer, a tablet computer, a notebook computer, a mobile phone, or other terminal devices capable of implementing data processing and data communication, which is not limited herein.
On the basis of the above, please refer to fig. 2 in combination, which is a flowchart illustrating a block chain-based vehicle management communication method according to an embodiment of the present invention, where the block chain-based vehicle management communication method may be applied to the terminal device 300 in fig. 1, and further, the block chain-based vehicle management communication method may specifically include the contents described in the following steps S21 to S24.
Step S21, a real-time vehicle travel track and a speed category of a travel speed feature included in the real-time vehicle travel track are obtained.
For example, the real-time vehicle driving track includes a vehicle driving path, a vehicle driving direction, a speed type, and the like, which are not described herein again. The speed categories include speeding, normal running, and low running.
Step S22, extracting a target speed at which the running speed of the real-time vehicle running track does not meet a preset running speed; and identifying the target speed of the real-time vehicle running track according to the maximum value of the preset running speed at which the instantaneous time point of the target speed is greater than the maximum value of the preset running speed to obtain an instantaneous vehicle speed data identifier.
For example, the target speed represents a speed exceeding or falling below a preset running speed, and the instantaneous vehicle speed data identifies a time point corresponding to the instantaneous exceeding of the preset speed.
And step S23, matching a vehicle speed measurement pairing model based on the extracted matching set of the real-time vehicle driving track and the instantaneous vehicle speed data identification structure and the speed type of the driving speed characteristics.
For example, the matching set represents a data pairing set formed by combining a real-time vehicle running track and an instant vehicle speed data identifier, and the vehicle speed measurement pairing model is used for matching the vehicle running speed.
And step S24, judging the speed type of the running speed characteristics included in the running track of the vehicle to be processed based on the matched vehicle speed measurement pairing model.
It can be understood that, when the above-mentioned steps S21-S24 are performed, the real-time vehicle running track is extracted by obtaining the real-time vehicle running track and the speed category of the running speed feature included in the real-time vehicle running track, the target speed at which the running speed of the real-time vehicle running track does not meet the preset running speed is extracted to obtain the extracted real-time vehicle running track, the running speed of the real-time vehicle running track is identified according to the maximum value of the preset running speed greater than the instant time point of the running speed to obtain the instant vehicle speed data identification, the information amount of the obtained instant vehicle speed data identification can be extracted by the preset running speed greater than the instant time point of the running speed, so that more effective matching sets for the vehicle speed measuring matching models can be constructed based on the extracted real-time vehicle running track and instant vehicle speed data identification, the stable speed type accuracy can be obtained under the condition that the information amount of the real-time vehicle running track of the same section or speed type is less; based on the extracted matching set of the real-time vehicle running track and the extracted instantaneous vehicle speed data identification structure and the speed type of the running speed characteristics, the matched vehicle speed measurement matching model can be matched on the basis of the known vehicle speed measurement matching model, the weight of the vehicle speed measurement matching model is updated through matching, the matched vehicle speed measurement matching model is obtained to be judged, and therefore the matching mode is simpler and quicker.
In an alternative embodiment, the vehicle speed measurement pairing model may include the following:
initializing a vehicle speed measurement pairing model; and mapping the vehicle running track and the corresponding speed type included in the matching set to the vehicle speed measurement pairing model for iterative matching until the speed calculation result of the vehicle speed measurement pairing model matches a preset speed to obtain a single vehicle speed measurement pairing model for the speed type of the vehicle running track to be processed. It can be understood that the calculation types in the vehicle speed measurement pairing model are continuously updated, so that the vehicle speed measurement pairing is more accurate.
Based on the above basis, the following contents can be included:
and calculating the speed calculation result by using a preset driving speed parameter set according to the N speed calculation result and the pairing driving speed value of the multiple speed types to obtain a real-time speed calculation result of the vehicle speed measurement pairing model. For example, N represents a positive integer greater than 0 (e.g., 1, 2, 3, etc., which is not described herein again).
In some alternative embodiments, the vehicle speed measurement pairing model may include the following:
initializing a vehicle speed measurement pairing model; initializing a monitoring layer, a speed judging layer and a speed type layer corresponding to the running speed characteristics which are sequentially matched with the vehicle speed measuring matching model according to at least two running speed characteristics contained in the real-time vehicle running track to obtain a combined vehicle speed measuring matching model for the speed type of the vehicle running track to be processed; and mapping the vehicle running track and the corresponding speed type included in the matching set to the combined vehicle speed measurement pairing model for iterative matching until the speed calculation result matches the preset speed. For example, the real-time vehicle driving track is optimized through a multi-dimensional control layer through a plurality of driving speed characteristics, so that the accuracy of data is ensured.
In some alternative embodiments, the determining, based on the matched vehicle speed measurement paired model, the speed category of the driving speed feature included in the driving track of the vehicle to be processed may include the following:
in a single vehicle speed measurement pairing model, extracting vehicle running track characteristics in the vehicle running track to be processed, and performing segmented processing on the extracted vehicle running track characteristics; and feeding back the characteristics of the segmentation processing to the probability that the running speed characteristics belong to different speed categories. For example, the extracted vehicle running track characteristics are processed in a segmented mode, and information is fed back in time, so that the judgment efficiency is effectively improved.
In some alternative embodiments, the determining, based on the matched vehicle speed measurement paired model, the speed category of the running speed feature included in the running track of the vehicle to be processed may include the following:
in a combined vehicle speed measurement pairing model, correspondingly extracting vehicle running track characteristics from the to-be-processed vehicle running tracks of at least two running speed characteristics by using the combined vehicle speed measurement pairing model; inputting the extracted vehicle running track characteristics into a speed judgment layer, and performing segmentation processing; and respectively feeding back the vehicle running track characteristics subjected to the segmentation processing to the probabilities that the at least two running speed characteristics belong to different speed types. For example, the accuracy of the probability of determining the speed category can be effectively improved by a combination mode.
In some alternative embodiments, extracting that the running operation speed of the real-time vehicle running track does not satisfy the target speed of the preset running speed may include:
detecting an overspeed area of a driving speed characteristic included in the real-time vehicle driving track; and extracting the speed coefficient of the real-time vehicle running track until the speed coefficient of an overspeed area of the running speed characteristics included in the real-time vehicle running track is consistent. For example, constant monitoring is realized, so that the speed of the vehicle running position can be obtained, and the accuracy of data is improved.
Based on the above basis, the method for extracting the target speed at which the running speed of the real-time vehicle running track does not meet the preset running speed further comprises the following steps:
and based on the recognition degree that the real-time vehicle running track is not satisfied, performing vehicle running track classification processing on each running path of the real-time vehicle running track. For example, the driving tracks are classified, data can be preferentially screened, and the workload of subsequent work is reduced.
Based on the above basis, the extracting of the target speed at which the running speed of the real-time vehicle running track does not meet the preset running speed may include the following:
eliminating the non-overspeed area of the running speed characteristic in the running track of the real-time vehicle; and extracting the vehicle running track after the rejection to accord with a preset speed coefficient. For example, the non-overspeed area of the driving speed characteristic is eliminated, so that the data can be effectively screened.
Based on the above basis, according to the preset maximum driving speed value at which the instantaneous time point of the target speed is greater than the target speed, the driving running speed of the real-time vehicle driving track is identified to obtain the instantaneous vehicle speed data identifier, which may include the following:
determining a running operation speed matched with the running operation speed according to the running operation speed of the real-time vehicle running track compared with the preset running speed according to the preset running path where the running operation speed of at least one speed type of the vehicle running track is located and the preset running speed which is not satisfied by the preset running path; and identifying the running speed of the real-time vehicle running track to the matched running speed to obtain an instantaneous vehicle speed data identifier. For example, by searching the instantaneous vehicle speed data identifier in the preset running speed, the workload is greatly reduced, the searching is carried out in less data, and the searching speed is increased.
Based on the same inventive concept, the system also provides a vehicle management communication system based on the block chain, the system comprises a vehicle speed acquisition device and a terminal device, the vehicle speed acquisition device is in communication connection with the terminal device, and the terminal device comprises:
obtaining a real-time vehicle running track and a speed type of a running speed characteristic included in the real-time vehicle running track;
extracting a target speed at which the running speed of the real-time vehicle running track does not meet a preset running speed; identifying the target speed of the real-time vehicle running track according to the maximum value of the preset running speed at which the instantaneous time point of the target speed is greater than the maximum value of the preset running speed to obtain an instantaneous vehicle speed data identifier;
matching a vehicle speed measurement pairing model based on the extracted real-time vehicle running track and a matching set constructed by the instantaneous vehicle speed data identification and the speed type of the running speed characteristics;
and judging the speed type of the running speed characteristics included in the running track of the vehicle to be processed based on the matched vehicle speed measurement pairing model.
Based on the same inventive concept, please refer to fig. 3 in conjunction with the above description, a functional block diagram of the block chain-based vehicle management communication device 500 is also provided, and the detailed description about the block chain-based vehicle management communication device 500 is as follows.
The block chain-based vehicle management communication device 500 is applied to a terminal device, and the device 500 comprises:
a driving track obtaining module 510, configured to obtain a real-time vehicle driving track and a speed type of a driving speed feature included in the real-time vehicle driving track;
a vehicle speed recognition module 520, configured to extract a target speed at which a running speed of the real-time vehicle running track does not meet a preset running speed; identifying the target speed of the real-time vehicle running track according to the maximum value of the preset running speed at which the instantaneous time point of the target speed is greater than the maximum value of the preset running speed to obtain an instantaneous vehicle speed data identifier;
a vehicle speed measurement pairing module 530, configured to match a vehicle speed measurement pairing model based on the extracted matching set of the real-time vehicle running track and the instantaneous vehicle speed data identification structure and the speed type of the running speed feature;
and the driving track judging module 540 is configured to judge a speed type of a driving speed feature included in the driving track of the vehicle to be processed based on the matched vehicle speed measurement pairing model.
In conclusion, the vehicle management communication method, the management system, the equipment and the medium based on the block chain obtain the matched vehicle speed measurement pairing model for judgment by matching and updating the weight of the vehicle speed measurement pairing model, so that the matching mode is simpler and quicker.
It will be understood that the invention is not limited to the precise arrangements that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (4)
1. A blockchain-based vehicle management communication method, the method comprising:
obtaining a real-time vehicle running track and a speed type of a running speed characteristic included in the real-time vehicle running track;
extracting a target speed at which the running speed of the real-time vehicle running track does not meet a preset running speed; identifying the target speed of the real-time vehicle running track according to the maximum value of the preset running speed at which the instantaneous time point of the target speed is greater than the maximum value of the preset running speed to obtain an instantaneous vehicle speed data identifier;
matching a vehicle speed measurement pairing model based on the extracted real-time vehicle running track and a matching set constructed by the instantaneous vehicle speed data identification and the speed type of the running speed characteristics;
judging the speed type of the running speed characteristics included in the running track of the vehicle to be processed based on the matched vehicle speed measurement matching model;
wherein, the vehicle speed measurement pair model includes:
initializing a vehicle speed measurement pairing model;
mapping the vehicle running track and the corresponding speed type included in the matching set to the vehicle speed measurement pairing model for iterative matching until the speed calculation result of the vehicle speed measurement pairing model matches a preset speed to obtain a single vehicle speed measurement pairing model for the speed type of the vehicle running track to be processed;
wherein, still include:
calculating the speed calculation result by a preset driving speed parameter set according to the N speed calculation result and the pairing driving speed value of the multiple speed types to obtain a real-time speed calculation result of the vehicle speed measurement pairing model;
wherein, the vehicle speed measurement pair model includes:
initializing a vehicle speed measurement pairing model;
initializing a monitoring layer, a speed judging layer and a speed type layer corresponding to the running speed characteristics which are sequentially matched with the vehicle speed measuring matching model according to at least two running speed characteristics contained in the real-time vehicle running track to obtain a combined vehicle speed measuring matching model for the speed type of the vehicle running track to be processed;
mapping the vehicle running tracks and the corresponding speed types included in the matching set to the combined vehicle speed measurement pairing model for iterative matching until the speed calculation result matches a preset speed;
wherein, based on the vehicle speed measurement after the matching pairs the model, judges the speed type of the running speed characteristic included in the vehicle running track to be processed, including:
in a single vehicle speed measurement pairing model, extracting vehicle running track characteristics in the vehicle running track to be processed, and performing segmented processing on the extracted vehicle running track characteristics;
feeding back the characteristics subjected to the segmentation processing to the probability that the running speed characteristics belong to different speed types;
wherein, based on the vehicle speed measurement after the matching pairs the model, judges the speed type of the running speed characteristic included in the vehicle running track to be processed, including:
in a combined vehicle speed measurement pairing model, correspondingly extracting vehicle running track characteristics from the to-be-processed vehicle running tracks of at least two running speed characteristics by using the combined vehicle speed measurement pairing model;
inputting the extracted vehicle running track characteristics into a speed judgment layer, and performing segmentation processing; feeding back the vehicle running track characteristics subjected to the segmentation processing to the probabilities that the at least two running speed characteristics belong to different speed types respectively;
wherein, the extracting that the running speed of the real-time vehicle running track does not meet the target speed of the preset running speed comprises:
detecting an overspeed area of a driving speed characteristic included in the real-time vehicle driving track; and extracting the speed coefficient of the real-time vehicle running track until the speed coefficient of an overspeed area of the running speed characteristics included in the real-time vehicle running track is consistent.
2. The vehicle management communication system based on the block chain is characterized by comprising a vehicle speed acquisition device and a terminal device, wherein the vehicle speed acquisition device is in communication connection with the terminal device, and the terminal device comprises:
the system comprises a running track acquisition module, a real-time vehicle running track acquisition module and a real-time vehicle running track acquisition module, wherein the running track acquisition module is used for acquiring a real-time vehicle running track and a speed type of a running speed characteristic included in the real-time vehicle running track;
the vehicle speed identification module is used for extracting a target speed at which the running speed of the real-time vehicle running track does not meet a preset running speed; identifying the target speed of the real-time vehicle running track according to the maximum value of the preset running speed at which the instantaneous time point of the target speed is greater than the maximum value of the preset running speed to obtain an instantaneous vehicle speed data identifier;
the vehicle speed measurement pairing module is used for matching a vehicle speed measurement pairing model based on the extracted real-time vehicle running track and a matching set constructed by the instant vehicle speed data identification and the speed type of the running speed characteristics;
the running track judging module is used for judging the speed type of the running speed characteristics included in the running track of the vehicle to be processed based on the matched vehicle speed measurement pairing model;
wherein, the vehicle speed measurement pair model includes:
initializing a vehicle speed measurement pairing model;
mapping the vehicle running track and the corresponding speed type included in the matching set to the vehicle speed measurement pairing model for iterative matching until the speed calculation result of the vehicle speed measurement pairing model matches a preset speed to obtain a single vehicle speed measurement pairing model for the speed type of the vehicle running track to be processed;
wherein, still include:
calculating the speed calculation result by a preset driving speed parameter set according to the N speed calculation result and the pairing driving speed values of the multiple speed types to obtain a real-time speed calculation result of the vehicle speed measurement pairing model;
wherein, the vehicle speed measurement pair model includes:
initializing a vehicle speed measurement pairing model;
initializing a monitoring layer, a speed judging layer and a speed type layer corresponding to the running speed characteristics, which are sequentially matched with the vehicle speed measuring pairing model, according to at least two running speed characteristics contained in the real-time vehicle running track to obtain a combined vehicle speed measuring pairing model for the speed type of the vehicle running track to be processed;
mapping the vehicle running tracks and the corresponding speed types included in the matching set to the combined vehicle speed measurement pairing model for iterative matching until the speed calculation result matches a preset speed;
wherein, based on the vehicle speed measurement after the matching pairs the model, judges the speed type of the running speed characteristic included in the vehicle running track to be processed, including:
in a single vehicle speed measurement pairing model, extracting vehicle running track characteristics in the vehicle running track to be processed, and carrying out sectional processing on the extracted vehicle running track characteristics;
feeding back the characteristics subjected to the segmentation processing to the probability that the running speed characteristics belong to different speed types;
the vehicle speed measurement pairing model based on matching judges the speed type of the running speed characteristics included in the running track of the vehicle to be processed, and comprises the following steps:
in a combined vehicle speed measurement pairing model, correspondingly extracting vehicle running track characteristics from the to-be-processed vehicle running tracks of at least two running speed characteristics by using the combined vehicle speed measurement pairing model;
inputting the extracted vehicle running track characteristics into a speed judgment layer, and performing segmentation processing; feeding back the vehicle running track characteristics subjected to the segmentation processing to the probabilities that the at least two running speed characteristics belong to different speed types respectively;
wherein, the extracting that the running speed of the real-time vehicle running track does not meet the target speed of the preset running speed comprises:
detecting an overspeed area of a driving speed characteristic included in the real-time vehicle driving track; and extracting the speed coefficient of the real-time vehicle running track until the speed coefficient of an overspeed area of the running speed characteristics included in the real-time vehicle running track is consistent.
3. A terminal device, comprising:
a memory for storing a computer program;
a processor coupled to the memory for executing the computer program stored by the memory to implement the method of claim 1.
4. A computer-readable storage medium, in which a computer program is stored which, when running, performs the method of claim 1.
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